Variance of a weighted population

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SUMMARY

The discussion focuses on calculating the variance of a weighted population, specifically using the values 4, 5, 6, and 7 with weights 0.2, 0.4, 0.3, and 0.1, respectively. The population mean was correctly calculated as 5.3. Variance was initially miscalculated but clarified through the application of the formula var{x} = E{x^2} - E^2{x}. The user successfully understood that to find variance, one must compute the expected value of x squared and subtract the square of the mean.

PREREQUISITES
  • Understanding of weighted averages
  • Familiarity with the concept of variance
  • Knowledge of expected value calculations
  • Basic algebraic manipulation skills
NEXT STEPS
  • Study the derivation of the variance formula in statistics
  • Learn how to compute expected values for different distributions
  • Explore applications of variance in real-world data analysis
  • Investigate the differences between population variance and sample variance
USEFUL FOR

Students in statistics, data analysts, and anyone involved in quantitative research who needs to understand variance calculations in weighted populations.

rogo0034
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Homework Statement


KEnHA.png



Homework Equations





The Attempt at a Solution



Was able to get the population mean of 5.3 with 4*.2 + 5*.4 + 6*.3 + 7*.1
But for some reason I'm drawing blank for the variance (which i guess is .81)
 
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rogo0034 said:

Homework Statement


KEnHA.png

Homework Equations


The Attempt at a Solution



Was able to get the population mean of 5.3 with 4*.2 + 5*.4 + 6*.3 + 7*.1
But for some reason I'm drawing blank for the variance (which i guess is .81)

Variance is defined as:
var\{x\}=E\{(x-E\{x\})^2\}
So if you wanted to directly apply the equation above, you would compute it the same way as mean, except instead of doing a weighted sum of x, you would do a weighted sum of (x-E{x})^2. So for each x, before doing the weighted sum, you would subtract off the mean you found already and square it.

But there is a popular reworking of the equation:
var\{x\}=E\{x^2-2xE\{x\}+E^2\{x\}\}=E\{x^2\}-E^2\{x\}

So in this case, you would compute the expected value of x^2 (the same way you did the mean except use x^2 instead of x). Then, subtract the square of the expectation you already found.
 
Got it! thanks, that was easier
 

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